Director, AI Engineer

dentsu Austria

. Design and build multi-agent systems using LLM orchestration frameworks for client-facing AI products .

Posted 9/18/2026full-timeRemote • Maryland • United StatesLead💰 $94,000 - $152,662 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building multi-agent systems using LLM orchestration frameworks, with strong proficiency in Python and experience in AI orchestration use cases. Capable of collaborating effectively with distributed teams and contributing to technical documentation and architecture decisions.

Highest-signal resume keywords

Python ProgrammingLLM ExperienceAgent Orchestration FrameworksSystem Design SkillsCloud Platforms

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringPrompt EngineeringAPI ArchitectureDebuggingPerformance OptimizationMLOpsConversational AIProduction Model LifecycleData Science ModelsContainer Orchestration

Soft Skills

Effective CollaborationProblem-Solving

Tools & Technologies

LangChainLangGraphAutoGenCrewAIDatabricksGenieAzure

Industry Keywords

Media TechnologyAdvertising TechnologyMarketing Technology

Tech Stack

Tools & technologies

AzureCloudDistributed SystemsPython

About the role

Key responsibilities & impact

Design and build multi-agent systems using LLM orchestration frameworks for client-facing AI products
Implement end-to-end AI orchestration use cases for clients
Build agentic wrappers and interfaces around data science models, including MMM, forecasting, and incrementality
Configure Genie spaces for client data exploration and self-service analytics
Develop reusable agent components, prompt templates, and tool-use libraries
Evaluate LLM providers based on capability, cost, and latency and recommend optimal options
Collaborate with the Offshore Director Staff AI Engineer on architecture direction, design patterns, and coding standards
Write production-grade Python with error handling, observability, CI/CD integration, and deployment automation
Partner with Data Scientists to understand models and create resilient, accurate agent interfaces
Contribute to technical documentation, architecture decision records, and operational runbooks
Report to the VP, AI Agents & Automation
Collaborate with an offshore engineering team to deliver scalable, reliable AI products

Requirements

What you’ll need

5+ years of software engineering experience with strong Python skills
2+ years of hands-on experience working with LLMs, including prompt engineering, RAG, function calling, or agent frameworks
Experience with at least one agent orchestration framework, such as LangChain, LangGraph, AutoGen, CrewAI, or similar
Strong system design skills, including API architecture and distributed systems
Experience with cloud platforms, preferably Azure, and container orchestration
Familiarity with vector databases, embeddings, and large-scale RAG systems
Strong debugging, performance optimization, and problem-solving skills
Effective collaboration with distributed teams across regions and time zones
Experience with Databricks and/or Genie
Background in media, advertising, or marketing technology
Experience with MLOps, model-serving infrastructure, and production model lifecycle
Experience building conversational AI or copilot-style products
Open-source contributions related to agentic AI

Benefits

Comp & perks

Medical, vision, and dental insurance
Life insurance
Short-term and long-term disability insurance
401k
Flexible paid time off
At least 15 paid holidays per year
Paid sick and safe leave
Paid parental leave
Flexible working arrangements, with in-person collaboration as required
Office attendance flexibility based on commuting distance and role/business needs